Budgeted-GS: Real-Time Large-Scale Gaussian Splatting via Factoring LOD
3D Gaussian Splatting achieves excellent visual quality with real-time rendering, but at the scale of entire cities it does not fit: a trained model carries millions of primitives and gigabytes of memory, and real-time rendering at high quality on a consumer GPU remains out of reach. We introduce Budgeted-GS, a post-hoc method that turns any trained 3DGS model into a factoring tree, a multi-resolution hierarchy of moment-matched aggregates. After a construction pass of a few seconds, a single quality parameter selects, for each view, the level of detail that fits the memory of the target device, so the same city-scale model serves GPUs with widely different memory capacities. When a new s...
| Authors | Haipeng Wang |
|---|---|
| Primary category | cs.GR |
| Published | 2 October 2026 |
| Last updated at source | 2 October 2026 |
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